The field of human-AI interaction is rapidly evolving, with a growing focus on developing AI systems that can provide personalized mental health support and social interaction. Recent studies have demonstrated the effectiveness of large language models (LLMs) in delivering safe and engaging mental health support, with significant reductions in symptoms of depression and anxiety. Additionally, researchers are exploring the use of LLMs in therapeutic dialogue generation, with promising results in terms of contextual relevance and professionalism. However, concerns have also been raised about the potential risks of AI companionship, including the absence of natural endpoints for relationships and vulnerability to product sunsetting. Noteworthy papers in this area include 'Mental Health Generative AI is Safe, Promotes Social Health, and Reduces Depression and Anxiety' and 'Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support', which highlight the potential of LLMs to support mental health and well-being.
Advances in Human-AI Interaction for Mental Health and Social Support
Sources
Mental Health Generative AI is Safe, Promotes Social Health, and Reduces Depression and Anxiety: Real World Evidence from a Naturalistic Cohort
Cost Transparency of Enterprise AI Adoption
Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support
"Power of Words": Stealthy and Adaptive Private Information Elicitation via LLM Communication Strategies
From Passive to Persuasive: Steering Emotional Nuance in Human-AI Negotiation
Telekommunikations\"uberwachung am Scheideweg: Zur Regulierbarkeit des Zugriffes auf verschl\"usselte Kommunikation
Whistledown: Combining User-Level Privacy with Conversational Coherence in LLMs
Access to Personal Data and the Right to Good Governance during Asylum Procedures after the CJEU's YS. and M. and S. judgment
Freedom of expression and 'right to be forgotten' cases in the Netherlands after Google Spain
New Data Security Requirements and the Proceduralization of Mass Surveillance Law after the European Data Retention Case
PACEE: Supporting Children's Personal Emotion Education through Parent-AI Collaboration
Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning
When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms
Harmful Traits of AI Companions
People readily follow personal advice from AI but it does not improve their well-being
Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language
Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMs
Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art